Five Ways to Prepare for the Enterprise Cloud

Open Source

Consider open source technologies.

Technologies like OpenStack, Linux and KVM (Kernel-based Virtual Machines) reduce the "technology tax" on enterprises while providing the flexibility to build cloud environments using innovative best-of-breed solutions. There are serious benefits and savings to be had, but there are also additional challenges that come with open source technology. Some argue that OpenStack isn't mature enough yet for enterprise-class clouds and that its lack of maturity can make it an unreliable solution. However, with the right approach to uptime – namely, software-defined availability – enterprises can ensure the applications they depend on will be there when needed.

Many organizations recognize the benefits of cloud computing, including potential cost efficiencies and greater scalability. But the cloud landscape is still relatively immature and must continue to evolve and grow before enterprises will be confident enough to host their most critical applications there.

While a promising technology, there are barriers to widespread adoption that are particularly challenging for the enterprise. In particular, large organizations need to know that their applications, once migrated to the cloud, will still function with the same level of availability they would expect from a robust in-house legacy data center.

Many enterprises have initiated their cloud journey by migrating only a few non-critical apps to the cloud. After learning from these initial forays into the cloud, and with new technology to ensure always-on availability in cloud environments, the time is ripe for organizations to begin migrating their most important applications. The truth is that no cloud migration is easy, but with new approaches to availability, the process can be more straightforward.

With this in mind, Jason Andersen, senior director of product management and marketing at Stratus Technologies, explores how enterprises can ease into the cloud without putting their most important applications at risk of a costly failure.

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